remove column from dataframe
df.drop('column_name', axis=1, inplace=True)remove column from dataframe
df.drop('column_name', axis=1, inplace=True)remove columns from dataframe
df.drop('col_name',1) #1 drop column / 0 drop rowremove a column from dataframe
del df['column_name'] #to remove a column from dataframeremove name of a column
M
a b c
1[1,] 1 4 7
2[2,] 2 5 8
3[3,] 3 6 9
row.names(M)<- NULL ; colnames(M)<- NULL
M
[,1] [,2] [,3]
[1,] 1 4 7
[2,] 2 5 8
[3,] 3 6 9how to drop a column by name in pandas
>>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],
... ['speed', 'weight', 'length']],
... codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],
... [0, 1, 2, 0, 1, 2, 0, 1, 2]])
>>> df = pd.DataFrame(index=midx, columns=['big', 'small'],
... data=[[45, 30], [200, 100], [1.5, 1], [30, 20],
... [250, 150], [1.5, 0.8], [320, 250],
... [1, 0.8], [0.3, 0.2]])
>>> df
big small
lama speed 45.0 30.0
weight 200.0 100.0
length 1.5 1.0
cow speed 30.0 20.0
weight 250.0 150.0
length 1.5 0.8
falcon speed 320.0 250.0
weight 1.0 0.8
length 0.3 0.2remove a columns in pandas
DataFrame.drop(self, labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source]Copyright © 2021 Codeinu
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